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        Firing multistability in a locally active memristive neuron model

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        Nonliear_Dynamics.pdf (PDF, 6Mb)(embargoed until 19/05/2021)
        Author
        Lin, Hairong
        Wang, Chunhua
        Sun, Yichuang
        Yao, Wei
        Attention
        2299/22815
        Abstract
        The theoretical, numerical and experimental demonstrations of firing dynamics in isolated neuron are of great significance for the understanding of neural function in human brain. In this paper, a new type of locally active and non-volatile memristor with three stable pinched hysteresis loops is presented. Then, a novel locally active memristive neuron model is established by using the locally active memristor as a connecting autapse, and both firing patterns and multistability in this neuronal system are investigated. We have confirmed that, on the one hand, the constructed neuron can generate multiple firing patterns like periodic bursting, periodic spiking, chaotic bursting, chaotic spiking, stochastic bursting, transient chaotic bursting and transient stochastic bursting. On the other hand, the phenomenon of firing multistability with coexisting four kinds of firing patterns can be observed via changing its initial states. It is worth noting that the proposed neuron exhibits such firing multistability previously unobserved in single neuron model. Finally, an electric neuron is designed and implemented, which is extremely useful for the practical scientific and engineering applications. The results captured from neuron hardware experiments match well with the theoretical and numerical simulation results.
        Publication date
        2020-06-01
        Published in
        Nonlinear Dynamics
        Published version
        https://doi.org/10.1007/s11071-020-05687-3
        Other links
        http://hdl.handle.net/2299/22815
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